Data & AI Intern

About Philogen

Philogen S.p.A. is a biotechnology company dedicated to developing targeted products for the imaging and treatment of life-threatening diseases, with a strategic focus on oncology. Our mission is to translate cutting-edge scientific innovation into effective therapies that improve patients' lives.

Position Overview

At Philogen, we are transforming core business processes into production-grade AI systems supporting clinical operations, R&D, finance, and corporate functions in a regulated environment.

We are looking for a Data & AI Intern who will work one-to-one with an experienced Member of the Technical Staff in the Data & AI team. You will contribute to real projects from the beginning: integrating data sources, developing pipelines, modeling business information, and building tools that allow AI agents to work reliably with company data.

This six-month internship is intended as a potential pathway toward a full-time Member of the Technical Staff role.

What You Will Do

• Model business concepts and their connections in a shared ontology and knowledge layer.
• Build reusable skills and tools through which AI agents can query data, perform analyses, and generate reports.
• Develop and maintain Python pipelines that ingest data from APIs, spreadsheets, exports, and operational systems.
• Clean, validate, transform, aggregate, and reconcile data from different departments and sources.
• Support day-to-day data science activities, including data-quality analysis, reporting, statistical investigation, and process automation.
• Write tests, review code, document decisions, and contribute through a shared Git-based development workflow.
• Learn how to build graph-based data systems designed for AI agents

What We Are Looking For

• Strong Python programming skills and the ability to write structured, maintainable code in shared repos.
• Knowledge of SQL, relational databases, data structures, joins, aggregations, and data modeling.
• Experience with GitHub, pull requests, automated testing, and collaborative software development.
• A foundation in statistics, data analysis, and the interpretation of imperfect real-world datasets.
• Familiarity with APIs, structured data formats, and common data-ingestion patterns.
• Practical understanding of generative AI, including model APIs, agents, tool use, structured outputs, RAG, and evaluation.
• High daily engagement with modern AI development tools such as Claude Code and Codex.
• Strong problem-solving skills and a builder mindset.
• Ability to communicate with non-technical stakeholders and translate their needs into practical technical solutions.
• Strong written and spoken English.

Nice to Have

• Knowledge of healthcare, biotechnology, pharmaceuticals, clinical trials, or regulated environments.
• Familiarity with knowledge graphs, ontologies, network science, GraphRAG, or retrieval-augmented generation.
• Frontend development experience, particularly with TypeScript and React.
• Experience working with data processes spanning several departments or enterprise systems.
• Familiarity with accounting, procurement, invoicing, or financial reporting.
• Experience with analytical databases, columnar data processing, or larger data workflows.
• Evidence of having built and completed a technical project outside standard coursework.

Education

• Currently or recently completed Master's degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, Physics, Bioinformatics, or a related quantitative field. Please specify your final degree grade in your CV.
• Strong academic background; international study or project experience.

What We Offer

• Six-month internship, open to both curricular and extracurricular candidates.
• €1,500 net per month.
• One-to-one mentorship from a Member of the Technical Staff.
• Direct exposure to leadership and high-impact projects across the organization.
• The opportunity to work on applied AI systems across clinical, scientific, operational, and corporate workflows. <